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Chronic Myeloid Leukemia and Hepatoblastoma: Two Cancer Models to Link Metabolism to Stem Cells

Overview of attention for article published in Frontiers in oncology, April 2016
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (52nd percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

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6 X users
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2 Facebook pages

Citations

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3 Dimensions

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13 Mendeley
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Title
Chronic Myeloid Leukemia and Hepatoblastoma: Two Cancer Models to Link Metabolism to Stem Cells
Published in
Frontiers in oncology, April 2016
DOI 10.3389/fonc.2016.00095
Pubmed ID
Authors

Maria Grazia Cipolleschi, Ilaria Marzi, Elisabetta Rovida, Persio Dello Sbarba

Abstract

Low oxygen tension is a critical aspect of the stem cell niche where stem cells are long-term maintained. In "physiologically hypoxic" stem cell niches, low oxygen tension restrains the clonal expansion of stem cells without blocking their cycling, thereby contributing substantially to favor their self-renewal. The capacity of stem cells, hematopoietic stem cells in particular, to reside in low oxygen is likely due to their specific metabolic profile. A strong drive to the characterization of this profile emerges from the notion that cancer stem cells (CSC), like normal stem cells, most likely rely on metabolic cues for the balance between self-renewal/maintenance and clonal expansion/differentiation. Accordingly, CSC homing to low oxygen stem cell niches is the best candidate mechanism to sustain the so-called minimal residual disease. Thus, the metabolic profile of CSC impacts long-term cancer response to therapy. On that basis, strategies to target CSC are intensely sought as a means to eradicate neoplastic diseases. Our "metabolic" approach to this challenge was based on two different experimental models: (A) the Yoshida's ascites hepatoma AH130 cells, a highly homogeneous cancer cell population expressing stem cell features, used to identify, in CSC adapted to oxygen and/or nutrient shortage, metabolic features of potential therapeutic interest; (B) chronic myeloid leukemia, used to evaluate the impact of oxygen and/or nutrient shortage on the expression of an oncogenetic protein, the loss of which determines the refractoriness of CSC to oncogene-targeting therapies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Researcher 2 15%
Student > Master 2 15%
Student > Bachelor 1 8%
Other 1 8%
Other 1 8%
Unknown 2 15%
Readers by discipline Count As %
Medicine and Dentistry 3 23%
Biochemistry, Genetics and Molecular Biology 3 23%
Agricultural and Biological Sciences 2 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Engineering 1 8%
Other 0 0%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 June 2016.
All research outputs
#14,388,554
of 25,374,647 outputs
Outputs from Frontiers in oncology
#3,593
of 22,416 outputs
Outputs of similar age
#147,052
of 315,339 outputs
Outputs of similar age from Frontiers in oncology
#25
of 84 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 22,416 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done well, scoring higher than 83% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 315,339 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 52% of its contemporaries.
We're also able to compare this research output to 84 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.